Statistical modelling plays a very important role in comprehending underlying relationships among crucial variables in an agricultural system. Some examples are: Length-weight relationship, Input-output relationship, Computation of compound growth rate, and Path of adoption of high yielding varieties. A statistical model can be either ‘Linear ’ or ‘Nonlinear’. In a linear model, all the parameters appea
Plant Physiologists and crop modelers in general are keen to use non-linear models for their work. H...
Our purpose is to investigate the methods used to design agricultural models and better identify how...
This paper has three objectives: to review the historical contributions of the literature on structu...
Agricultural systems science generates knowledge that allows researchers to consider complex problem...
<p>Agricultural systems science generates knowledge that allows researchers to consider complex prob...
At LEI, several different quantitative models are being used. In many projects more than one model i...
Economic and mathematical modeling is an integral part of any research in the field of economics. Th...
In modelling in general and biological modelling in particular two approaches may be distinguished: ...
ABSTRACT: This paper reviews the main concepts of several methods of phenotypic stability analysis a...
This paper has a broad topic: the use of modeling as an area of common interest and as a bridge for...
As sector programming models have increased in number, they have also increased, individually, in si...
The generalized linear model (GLM) is a hot topic in statistics. Numerous research articles on GLM...
Linear models are a type of mathematical model commonly used by statisticians in order to capture th...
This study evaluated the usefulness and efficacy of linear programming (LP) models, and the Grazing ...
a<p>Model-averaged coefficients with unconditional standard errors: change in cropland for pasture (...
Plant Physiologists and crop modelers in general are keen to use non-linear models for their work. H...
Our purpose is to investigate the methods used to design agricultural models and better identify how...
This paper has three objectives: to review the historical contributions of the literature on structu...
Agricultural systems science generates knowledge that allows researchers to consider complex problem...
<p>Agricultural systems science generates knowledge that allows researchers to consider complex prob...
At LEI, several different quantitative models are being used. In many projects more than one model i...
Economic and mathematical modeling is an integral part of any research in the field of economics. Th...
In modelling in general and biological modelling in particular two approaches may be distinguished: ...
ABSTRACT: This paper reviews the main concepts of several methods of phenotypic stability analysis a...
This paper has a broad topic: the use of modeling as an area of common interest and as a bridge for...
As sector programming models have increased in number, they have also increased, individually, in si...
The generalized linear model (GLM) is a hot topic in statistics. Numerous research articles on GLM...
Linear models are a type of mathematical model commonly used by statisticians in order to capture th...
This study evaluated the usefulness and efficacy of linear programming (LP) models, and the Grazing ...
a<p>Model-averaged coefficients with unconditional standard errors: change in cropland for pasture (...
Plant Physiologists and crop modelers in general are keen to use non-linear models for their work. H...
Our purpose is to investigate the methods used to design agricultural models and better identify how...
This paper has three objectives: to review the historical contributions of the literature on structu...